Embedded, not outsourced
The pod works alongside the people who run the process.
- Daily stand-ups with the people who run the process
Service
We build it with you, inside your business.
Our engineers sit with your teams, on your data, in your environment, from the first workflow to a governed system your team owns.
Overview
What it is.
A pod of an FDE lead, an AI engineer and a solution architect works alongside the people who run the process. We start from your SOP, build in your environment and hand over a system your team owns.
Who we work with.
Large enterprises
Production-ready, secure AI products and platforms, built alongside your teams.
Funded startups
Your extended AI product team, from first design to launch.
Capabilities
What we build.
- FDE lead
- AI engineer
- Solution architect
Start from your SOP
Your process documents, scripts and recorded calls become the first working agent.
- Rules and escalations captured as they really run
- You review the blueprint; nothing is hidden in prompts
Built in your environment
Your cloud, VPC or on-premise, your model keys, your data.
- Nothing is prototyped outside your walls
- Security and audit requirements designed in from day one
Ship, measure, iterate
A live pilot on one workflow, measured against your baseline.
- Weekly releases, with QA agents from the first call
- Every change versioned
Handover and enablement
Your team owns the workflows; playbooks and runbooks stay with you.
- Playbooks, runbooks and integration maps stay with you
- Support without dependence on our engineers
Commercially simple
Fixed-scope pilot, expansion priced on outcomes, no lock-in.
- A fixed-scope 6–8 week pilot
- Bring your own models and keys
How we engage
Start with one workflow. Scale on outcomes.
A fixed-scope pilot, run by a pod inside your environment and measured against your own baseline.
Step 1
Discover
We sit with the people who run the process, map the SOP, data and controls, and pick one high-volume workflow.
- SOP
- data
- controls
Step 2 · fixed scope
6–8 week pilot
A forward-deployed pod builds it in your environment and measures it against your own baseline.
- FDE lead
- AI engineer
- Solution architect
Step 3
Scale on outcomes
Expansion is priced on outcomes, such as tasks completed and hours saved, with no platform lock-in.
- handover
- runbooks
- your keys
Typical engagement: 6–8 week pilot · one pod · one workflow live · measured against your own baseline
See how we engageAccelerators
Accelerators we bring.
VocoMotiv
One platform for every conversation and every workflow.
Explore VocoMotivIn an engagement
Agents built from your SOP that talk on voice, WhatsApp, SMS, email and chat, and act in your systems mid-conversation.
TerraFlow
A governed execution layer for enterprise AI and agent workloads.
Explore TerraFlowIn an engagement
Policy decides where each workload may run, and every execution leaves an auditable route receipt, so the pilot is governed from its first request.
Sample use cases.
Sample use case
Loan lead-to-application agent with Account Aggregator consent
An agent can call each lead in their language, collect Account Aggregator consent over WhatsApp and hand a complete application to the loan origination system.
Sample use case
Admissions agent from enquiry to enrolment
An agent can call back each enquiry, answer programme and fee questions from the institution's knowledge and chase documents until enrolment.
Sample use case
Post-call intelligence on every call
Every call can be transcribed, separated by speaker and analysed for sentiment, intent and resolution.
Where it applies
Industries and a solution story.
Solution story
Conversation-led loan origination for digital lenders
Digital lenders lose leads in the hours before a tele-caller reaches them; eligibility waits on bank statements emailed in pieces, and only a sample of calls is checked for mandatory disclosures.
Applies to
- Digital lending
- NBFCs
- Insurance sales
Let's build it together.
Bring one workflow. Leave with a governed system running in your environment.